Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm.

Journal: Magnetic resonance imaging
PMID:

Abstract

OBJECTIVE: To assess a new deep learning-based MR reconstruction method, "DLRecon," for clinical evaluation of peripheral nerves.

Authors

  • Kelly C Zochowski
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • Ek T Tan
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • Erin C Argentieri
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • Bin Lin
    Department of Biostatistics, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • Alissa J Burge
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • Sophie C Queler
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America.
  • R Marc Lebel
    GE Healthcare, Calgary, Canada.
  • Darryl B Sneag
    Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70(th) Street, New York, NY 10021, United States of America. Electronic address: sneagd@hss.edu.